Results 1 to 10 of about 782,515 (314)
Dependence-Robust Confidence Intervals for Capture-Recapture Surveys. [PDF]
J Surv Stat Methodol, 2023 Abstract Capture–recapture (CRC) surveys are used to estimate the size of a population whose members cannot be enumerated directly. CRC surveys have been used to estimate the number of Coronavirus Disease 2019 (COVID-19) infections, people who use drugs, sex workers, conflict casualties, and trafficking victims.
Sun J +3 more
europepmc +4 more sources
Confidence intervals for robust estimates of measurement uncertainty [PDF]
Accreditation and Quality Assurance, 2020 Uncertainties arising at different stages of a measurement process can be estimated using Analysis of Variance (ANOVA) on duplicated measurements. In some cases it is also desirable to calculate confidence intervals for these uncertainties.
Fearn, Tom +2 more
core +6 more sources
Bootstrapping Confidence Intervals For Robust Measures Of Association [PDF]
Journal of Modern Applied Statistical Methods, 2003 A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence intervals for the robust Winsorized and percentage bend correlations.
King, Jason E.
core +4 more sources
Robust Confidence Intervals in Linear Regression [PDF]
, 2011 Sağlam regresyon yöntemlerine ilişkin çok sayıda çalışma olmasına rağmen, regresyon parametrelerinin sağlam güven aralığına ve testlerine ilişkin çalışmalar az sayıdadır. Bu çalışmaların çoğu da konum parametresinin güven aralığı üzerinedir. Bu çalışmada,
Kavruk, Tuba, Çetin, Meral
core +4 more sources
Robust Empirical Bayes Confidence Intervals
Econometrica, 2022 We construct robust empirical Bayes confidence intervals (EBCIs) in a normal means problem. The intervals are centered at the usual linear empirical Bayes estimator, but use a critical value accounting for shrinkage. Parametric EBCIs that assume a normal distribution for the means (Morris (1983b)) may substantially undercover when this assumption is ...
Armstrong, Timothy B. +2 more
openaire +2 more sources
Journal of Modern Applied Statistical Methods, 2020 In this paper, three robust confidence intervals are proposed as alternatives to the Student t confidence interval. The performance of these intervals was compared through a simulation study shows that Qn-t confidence interval performs the best and it is as good as Student’s t confidence interval. Real-life data was used for illustration and performing
Aamid Saghir +1 more
openaire +2 more sources
New robust confidence intervals for the mean under dependence [PDF]
Journal of Statistical Planning and Inference, 2021 The goal of this paper is to indicate a new method for constructing normal confidence intervals for the mean, when the data is coming from stochastic structures with possibly long memory, especially when the dependence structure is not known or even the existence of the density function.
Magda Peligrad, Martial Longla
openaire +3 more sources
Robust misinterpretation of confidence intervals
Psychonomic Bulletin & Review, 2014 Null hypothesis significance testing (NHST) is undoubtedly the most common inferential technique used to justify claims in the social sciences. However, even staunch defenders of NHST agree that its outcomes are often misinterpreted. Confidence intervals (CIs) have frequently been proposed as a more useful alternative to NHST, and their use is strongly
Hoekstra, R. +3 more
openaire +8 more sources
Robust Empirical Bayes Confidence Intervals [PDF]
, 2021 We construct robust empirical Bayes confidence intervals (EBCIs) in a normal means problem. The intervals are centered at the usual linear empirical Bayes estimator, but use a critical value accounting for shrinkage. Parametric EBCIs that assume a normal
Armstrong, Timothy B. +2 more
core
On the binomial confidence interval and probabilistic robust control [PDF]
Automatica, 2004 6 pages, 1 ...
Xinjia Chen +2 more
openaire +3 more sources